Bibliographic record
Abstract
The goal of the thesis is to show the advantage of procedural content gener- ation and to review the current situation in this eld. Reducing development costs is an excellent tactic to obtain a competitive advantage over other companies that are engaged in developing games, which can be achieved by removing the need for a larger number of designers. We can achieve that with the introduction of procedural algorithms for generat- ing content. A programmer in cooperation with an artist can, in this way, achieve much more than a large group of artists. These algorithms also allow individual artists or small businesses to create content-rich games and allow for the creation of unexpected forms. To create a program that generates content, one needs a clear understand- ing of the content being generated, in the case of this work, city quarter. The thesis deals with the urban form and analysis of its components. The second objective of this thesis is to write a program for generating city quarters, the result of which achieves the desired characteristics for use in games. Created levels should be playable, visually appealing and not give the impression of being generated by a procedural algorithm, but rather seem to be the work of humans.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".